Books on the topic 'NP-complexity'

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1

Gogan, J. Vincent. Slice functions and the method of approximations. Toronto, Ont: University of Toronto, Dept. of Computer Science, 1990.

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2

Gogan, J. Vincent. Slice functions and the method of approximations. Ottawa: National Library of Canada, 1990.

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3

Antoine, Lobstein, and Cohen Gerard, eds. Algorithmic complexityand communication problems. London: UCL Press, 1996.

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4

Efficient checking of polynomials and proofs and the hardness of approximation problems. Berlin: Springer₋Verlag, 1995.

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5

Barthelemy, Jean-Pierre. Algorithmic complexity and communication problems. London: UCL Press, 1996.

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6

Zakrzewski, Marek. Wprowadzenie w teorię złożoności obliczeniowej: W kręgu zagadnienia P-NP. Wrocław: Wydawn. Politechniki Wrocławskiej, 1990.

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7

P Np And Npcompleteness The Basics Of Computational Complexity. Cambridge University Press, 2010.

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8

Bogdanov, Andrej, and Luca Trevisan. Average-Case Complexity. Now Publishers Inc, 2006.

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9

Percus, Allon, Gabriel Istrate, and Cristopher Moore, eds. Computational Complexity and Statistical Physics. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195177374.001.0001.

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Computer science and physics have been closely linked since the birth of modern computing. In recent years, an interdisciplinary area has blossomed at the junction of these fields, connecting insights from statistical physics with basic computational challenges. Researchers have successfully applied techniques from the study of phase transitions to analyze NP-complete problems such as satisfiability and graph coloring. This is leading to a new understanding of the structure of these problems, and of how algorithms perform on them. Computational Complexity and Statistical Physics will serve as a standard reference and pedagogical aid to statistical physics methods in computer science, with a particular focus on phase transitions in combinatorial problems. Addressed to a broad range of readers, the book includes substantial background material along with current research by leading computer scientists, mathematicians, and physicists. It will prepare students and researchers from all of these fields to contribute to this exciting area.
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10

Cohen, G., J.-P. Barthelmy, and A. Lobstein. Algorithmic Complexity and Telecommunication Problems. CRC, 1997.

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11

Fortnow, Lance. Golden Ticket: P, NP, and the Search for the Impossible. Princeton University Press, 2013.

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12

Fortnow, Lance. Golden Ticket: P, Np, and the Search for the Impossible. Princeton University Press, 2013.

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13

Fortnow, Lance. The Golden Ticket: P, NP, and the Search for the Impossible. Princeton University Press, 2017.

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14

Peterson, Tyler. Alignment across Tsimshianic. Edited by Jessica Coon, Diane Massam, and Lisa Demena Travis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198739371.013.41.

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The Tsimshianic languages are entirely morphologically ergative in the agreement system. While there is a split in Tsimshianic, conditioned by both clause type and a person hierarchy, the other side of the split is not the expected nominative-accusative alignment. Rather, other logical groupings of semantic roles are found that are still ergative. This chapter presents a description of the agreement patterns across Tsimshianic, with the aim of explaining these expansions of ergativity, by undertaking a comparative analysis of the individual languages in the Tsimshianic family. This is analysis is extended to the connectives, which are complex, determiner-like morphemes that appear to be sensitive to the semantic role of the NP. This leads to four distinct alignments (nominative, ergative, neutral, and contrastive). An understanding of the alignments in the agreement system can shed light on this complexity, and a comparative analysis eliminates the multiple alignments in the connective system, thus revealing a fairly standard set of determiners.
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15

Kurt, Gödel, ed. The P=NP question and Gödel's lost letter. New York: Springer, 2010.

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16

The Golden Ticket. Princeton University Press, 2013.

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